Top 20 AWS Device Farm Interview Questions and Answers

AWS Device Farm enables developers to test and interact with actual Android and iOS devices in the AWS Cloud, improving application quality, time to market, and customer happiness. Developers may conduct automated tests simultaneously across hundreds of real devices using their uploaded apps and test scripts, receiving results, images, videos, and performance data in a matter of minutes. Also, they can use their web browser to swipe, gesture, and interact with a device to diagnose and replicate client concerns.

Ques. 1): How do you dispose of the equipment when my testing is finished?

Answer:

We carry out a number of cleanup procedures on each device when test execution is over, including uninstalling your software. The device will be taken away and no longer be available if we are unable to confirm the removal of your app or any of the other cleanup procedures.

It is possible for data to remain across sessions in some circumstances, particularly if you access the device system outside the context of your app, even though we constantly add new cleanup stages and enhance the cleanup procedure. It is advised that you refrain from providing or entering sensitive information such as account information (e.g., Google Account, Apple ID), personal information, and other security-sensitive details during your automated test and remote access sessions because AWS Device Farm records video and logs of all activity taking place while you use each device.

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Ques. 2): Amazon Device Farm should be used by whom and why?

Answer:

AWS Device Farm is made for programmers, QA groups, and customer service agents that create, test, and support mobile apps in order to improve the quality of their applications. Due to the variety of device types, OS and firmware changes, carrier and manufacturer customizations, and reliance on other apps and remote services, application quality is becoming more and more crucial while also becoming more complex. Developers, QA, and support staff may execute both automated tests and manual jobs like replicating customer concerns, exploring new functionality, and carrying out human test plans thanks to AWS Device Farm, which speeds up the development process by executing tests on numerous devices. AWS Device Farm also offers significant savings by eliminating the need for internal device labs, lab managers, and automation infrastructure development.

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Ques. 3): Are my application, tests, and other files stored on your servers? How much time?

Answer:

After 30 days, apps and test packages are automatically deleted. Artifacts such as logs, videos, and other recordings are kept for 400 days. Via the Amazon Device Farm GUI or API, you may also decide to delete files and results whenever you choose.

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Ques. 4): How do I choose my equipment? Can I run another test on the same machine?

Answer:

Devices are chosen for Automated Testing from a group known as a device pool. Although certain curated device pools are automatically offered, you can also make your own. All the devices in the designated pool that are appropriate for your application and tests will be subjected to execution of the tests. You choose the desired device for remote access based on its make, model, carrier option, and operating system version. Afterwards, if desired, you can upload applications and other files and modify other device settings. The display of the accessible device that matches your request is subsequently displayed in your browser via Device Farm. After that, you can interact with the gadget and take screenshots and videos.

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Ques. 5): I test using an automation framework. Which frameworks do you support?

Answer:

Currently, we support Appium Java JUnit, Appium Java TestNG, Appium Python, Calabash, Instrumentation (Includes JUnit, Espresso, Robotium, and any instrumentation-based tests), UI Automation, UI Automator, and XCTest for testing apps for iOS, Android, and FireOS (Including XCUI and KIF).

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Ques. 6): I want to provide my app access to media or other data. How can I go about doing that?

Answer:

A .zip archive that you submit can be up to 4 GB in size. On iOS, it will be extracted to your app's sandbox; on Android, it will be extracted to the root of external memory. We will automatically put the file into the directory appropriate for the OS version for Android expansion files (OBB).

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Ques. 7): What is a test report for an Amazon Device Farm?

Answer:

Pass/fail information, crash reports, test logs, device logs, screenshots, videos, and performance statistics are all included in AWS Device Farm test reports. Reports provide both high-level statistics like the frequency of a specific fault and detailed per-device data. Results from Remote Access include a video of the session as well as logs.

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Ques. 8): What is a device minute?

Answer:

The billing unit is a device minute. Device minutes are the number of minutes it takes to install, run, and remove your app and tests from each device you've chosen for your test run. No matter the equipment, test, or application type, the unit price is fixed. Only tests with no device or system faults are charged for device minutes. Similar to this, device minutes for Remote Access sessions are calculated from the time it takes to configure a device to your specifications until all of your installed apps and data are completely removed from the device.

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Ques. 9): What does AWS Device Farm's desktop browser testing entail?

Answer:

You may run your Selenium tests on several desktop browsers and browser versions that are hosted in the AWS Cloud thanks to Device Farm. For Selenium testing, Device Farm uses a client-side execution approach, meaning that while your tests run locally on your workstation, they communicate with browsers hosted on AWS Device Farm via the Selenium API.

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Ques. 10): What is a minute of instance?

Answer:

The billing unit for Device Farm's desktop browser testing is an instance minute. The time it takes to run your tests on each of the browser instances you've chosen for your test run is measured in instance minutes. No matter which browser or version of the browser you choose, the price per unit remains at $0.005. Whether the EC2 instance hosting the browser is started, initialised, or shut down, there are no additional fees from our end.

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Ques. 11): You alter my app, right?

Answer:

On iOS, we resign the app and swap out the embedded provisioning profile with a wildcard profile. If you give us the information, we will include auxiliary data in the application package before installation so that it is available in the sandbox for your programme. Some rights are removed when the iOS app is resigned. Related Domains, Game Center, HealthKit, HomeKit, Wireless Accessory Setup, In-App Purchasing, Inter-App Audio, Apple Pay, Push Notifications, and VPN Configuration & Control are included in this.

We shut off the Android app. Functionality that rely on the app signature, such the Google Maps Android API, may be broken as a result. Additionally, it might activate anti-tampering and anti-piracy features offered by goods like DexGuard. For built-in tests, we may modify the manifest to include permissions required to capture and save screenshots.

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Ques. 12): Can I experiment with various carrier connections and setups?

Answer:

While testing actual carrier connections is not possible, the network shaping functionality allows you to mimic different connection kinds and circumstances. You can choose from pre-made network profiles like "3G" or "Lossy LTE" when scheduling a run, or you can design your own by adjusting factors like throughput, jitter, and loss. During your tests, the profile you select will be used to shape and modify the WiFi communication from the device. By altering network parameters in your test scripts, you can emulate dynamic environments as well.

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Ques. 13): How long will it be before my test actually begins?

Answer:

Tests are immediately added to a queue and begin running shortly after. In the event that one or more devices are unavailable, test execution for those devices will be put on hold until they are. The other devices in your test run will continue to undergo testing.

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Ques. 14): Can I test my web application on actual mobile devices using the Amazon Device Farm?

Answer:

Yes. Appium is supported by Device Farm for web app testing on actual mobile devices. For additional information, see our Appium Web Testing developer guide. Please be aware that Device Farm uses a server-side execution mechanism for testing on actual mobile devices; as a result, you must upload your tests to the service.

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Ques. 15): What is Fuzz used for?

Answer:

After launch, Fuzz will begin testing your UI for flaws. It quickly streams arbitrary user input (touches, swipes, keyboard input) to your app. The quantity of events, the interval between events, and the randomization seed can all be customised. The same series of events will occur when the same seed is used in all test runs.

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Ques. 16): Does AWS Device Farm have an API that can be used to perform tests and retrieve the results?

Answer:

Yes. We offer a Gradle plugin that works with Android Studio and a plug-in for the Jenkins continuous integration system. Also, all console capabilities, including setting up a test and receiving test results via an API, are programmatically supported by AWS Device Farm.

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Ques. 17): My tests generate and save additional log files. Will I see them in my AWS Device Farm reports?

Answer:

The report will contain any log entries that you write to logcat (for Android) or the device log (for iOS). Despite the fact that you can use the device or device host's Internet connection to transfer files via your test script, AWS Device Farm does not gather any unusual logs or other artefacts.

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Ques. 18): What if I need to add or delete device slots because my testing requirements change?

Answer:

Any time you add device slots, they become immediately usable for you. Also, you have the option to at any time terminate your subscription for one or more device slots; the termination will take effect on the day of your subsequent renewal (the day of the month that you purchased your first active device slot).

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Ques. 19): How do device slots and the unmetered plan work?

Answer:

Unlimited testing and remote access are available with unmetered options starting at $250 per month. Unmetered prices start at $250 per slot per month and depend on how many device slots you buy for each usage category (such as automated testing or remote access) and device family (such as Android or iOS). Concurrency is corresponding to device slots.

Device Farm will conduct your tests on up to ten devices at a time until all tests are finished on your chosen devices, for example, if you buy ten automated test Android device slots and arrange a run on 100 Android smartphones. You may obtain your findings more quickly if you bought additional slots. You are charged a set fee of $250 per device slot per month, regardless of how many tests or remote access sessions you have. Your membership for one or more device slots can be cancelled at any time, and the cancellation will take effect on the date of your subsequent renewal (the day of the month that you purchased your first active device slot). Through the Amazon Device Farm UI, AWS Command Line Interface (AWS CLI), or AWS Device Farm API, you can buy slots.

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Ques. 20): Can I use both personal and public devices at once?

Answer:

Yes. You can choose between your private and public devices when configuring a test run or remote access session. Device pools made up of both private and public devices are another option.

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Ques. 1): What is AWS DataSync?

Answer:

Moving data between on-premises systems and Amazon Storage services is automated and expedited through the secure, online solution known as AWS DataSync. DataSync is able to move information between Network File System (NFS) shares, Server Message Block (SMB) shares, Hadoop Distributed File Systems (HDFS), self-managed object storage, AWS Snowcone, Amazon Simple Storage Service (Amazon S3) buckets, Amazon Elastic File System (Amazon EFS), Amazon FSx for Windows File Server file systems, Amazon FSx for Lustre file systems, Amazon FSz for OpenZFS file systems, and Amazon FSx

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Ques. 2): What issue does AWS DataSync help me with?

Answer:

Amazon DataSync makes it simple to transfer datasets between on-premises, edge, or other cloud storage and AWS Storage services, as well as between AWS Storage services, by lowering the complexity and cost of online data transfer. Using industry-standard storage protocols (NFS, SMB), as an HDFS client, or by utilising the Amazon S3 API, DataSync can connect to existing storage systems and data sources. In order to speed up data transfer between storage devices and AWS services, it makes use of a network protocol that was specifically designed for the purpose. DataSync automatically scales and manages moving files and objects, schedules data transfers, keeps track of transfer progress, encrypts data transfers, verifies data transfers, and alerts users to any problems. With DataSync you pay only for the amount of data copied, with no minimum commitments or upfront fees.

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Ques. 3): Where can I send and receive data?

Answer:

Network File System (NFS) shares, Server Message Block (SMB) shares, Hadoop Distributed File Systems (HDFS), self-managed object storage, Google Cloud Storage, Azure Files, AWS Snowcone, Amazon Simple Storage Service (Amazon S3), Amazon Elastic File System (Amazon EFS), Amazon FSx for Windows File Server file systems, Amazon FSx for Lustre file systems, Amazon FSx for OpenZFS file systems, and Amazon Simple Storage Service (Amazon S3) and Amazon FSx for NetApp ONTAP file systems.

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Ques. 4): How do I duplicate data to Amazon using AWS DataSync for business continuity?

Answer:

With AWS DataSync, you may automatically replicate files into any class of Amazon S3 storage, or you can transmit the data to a standby file system using Amazon EFS, Amazon FSx for Windows File Server, Amazon FSx for Lustre, Amazon FSx for OpenZFS, or Amazon FSx for NetApp ONTAP. To make sure that updates to your dataset are consistently copied to your target storage, use the built-in task scheduling mechanism.

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Ques. 5): Can I create my data lake with AWS DataSync?

Answer:

Yes. You can quickly create your data lake with AWS DataSync by automating the transfer of data from other clouds or on-premises sources to Amazon S3. With DataSync, you may quickly and easily move your whole data set using HDFS, the Amazon S3 API, or common storage protocols (NFS, SMB). You can plan additional data transfers to Amazon after transferring your original dataset. To assist ensure that your data arrives safely, intact, and ready for use, DataSync features encryption and integrity checks. You can plan transfer operations to run during off-peak hours or restrict the amount of network bandwidth that DataSync requires by configuring the built-in bandwidth throttle to reduce the impact on workloads that depend on your network connection. In order to acquire insights from your unstructured data sets, you can utilise native AWS services to run big data analytics, artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), and media data processing applications.

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Ques. 6): How do I get started using AWS DataSync Discovery (Preview)?

Answer:

Installing an AWS DataSync agent in your on-premises VM environment is the first step. Configure DataSync Discovery (Preview) to connect to your on-premises storage and run discovery jobs to gather information about your storage system, including performance, capacity, and utilisation metrics, using the DataSync console, CLI, or SDK. Dashboards in the DataSync panel allow you to view details about your storage systems while your discovery processes are running. Following the conclusion of a discovery job, the data gathered is examined to generate suggestions for switching to AWS storage services including Amazon EFS, Amazon FSx, and Amazon S3. You can use these suggestions to help you decide which Amazon Storage services to utilise, and you can use AWS DataSync to move your data.

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Ques. 7): How do I deploy an AWS DataSync agent?

Answer:

You install an AWS DataSync agent on your public cloud environment, Amazon EC2, or your on-premises hypervisor. You must download the agent virtual machine image from the Amazon Console and deploy it to your local VMware ESXi, Linux Kernel-based Virtual Machine (KVM), or Microsoft Hyper-V hypervisor in order to copy data to or from an on-premises file server. When using a DataSync agent, the agent must be set up to be able to connect to your file server through NFS, SMB, to NameNodes and DataNodes in your Hadoop cluster, or to your self-managed object storage via the Amazon S3 API. Deploy the agent on your Outpost to configure transfers between your S3 buckets on Amazon Outposts and S3 buckets in AWS Regions. Use the pre-installed DataSync agent AMI to configure transfers between your AWS Snowcone device and AWS storage.

To transfer data between Amazon Storage services inside the same AWS account, an agent deployment is not necessary. You can run an Amazon EC2 instance using a DataSync agent AMI to copy data to or from a self-managed in-cloud file server or between AWS Storage services in separate AWS accounts.

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Ques. 8): Is it possible to schedule data transfers with Amazon DataSync?

Answer:

Yes. With the Amazon DataSync Console or AWS Command Line Interface (CLI), you can schedule your jobs without having to create and execute scripts to handle repetitive transfers. Hourly, daily, or weekly choices are available right in the Console for task scheduling, which automatically executes jobs according to the schedule you define. This gives you the ability to guarantee that updates to your dataset are instantly recognised and replicated to your final storage.

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Ques. 9): Does Amazon DataSync support AWS PrivateLink or VPC endpoints?

Answer:

Data migration use cases do support VPC endpoints. In order to prevent data transfer between your Amazon DataSync agent, whether it is installed on-premises or in the cloud, from using the public internet or requiring public IP addresses, you can use VPC endpoints. The security of your data is increased by using VPC endpoints because network traffic is contained within your Amazon Virtual Private Cloud (Amazon VPC). Amazon PrivateLink, a highly available, scalable technology that enables you to privately connect your VPC to compatible AWS services, powers VPC endpoints for DataSync.

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Ques. 10): Can I copy my data into Amazon S3 Glacier Deep Archive, Amazon S3 Glacier Flexible Retrieval (formerly S3 Glacier), or other S3 storage classes?

Answer:

Yes. You can choose the S3 storage type that DataSync uses to store items when setting up an S3 bucket for use with AWS DataSync. S3 Standard, S3 Intelligent-Tiering, S3 Standard-Infrequent Access (S3 Standard-IA), S3 One Zone-Infrequent Access (S3 One Zone-IA), Amazon S3 Glacier Flexible Retrieval, and Amazon S3 Glacier Deep Archive are all supported by DataSync for direct data storage (S3 Glacier Deep Archive).

The S3 Standard will be used to store objects that are less than the minimum charge capacity per object. For instance, S3 Standard will store folder objects, which are zero bytes in size and contain only metadata.

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Ques. 11): How are files and folders converted by AWS DataSync into or out of Amazon S3 objects?

Answer:

The relationship between a file or folder and an object is one-to-one when they are copied to Amazon S3. S3 user metadata includes timestamps for files and folders as well as POSIX permissions, such as user ID, group ID, and permissions. File Gateway is fully compatible with S3 user metadata for NFS shares, enabling on-premises file-based access to data stored in Amazon S3 using AWS DataSync.

The file metadata is recovered when DataSync copies objects that include this user metadata back to an NFS server. While copying from NFS to S3, hard links and symbolic connections are also restored.

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Ques. 12): Which S3 storage types and associated Amazon S3 request and storage fees apply when utilising AWS DataSync?

Answer:

Some S3 storage classes include characteristics, such as data retrieval, minimum storage capacities, and minimum storage times, that might affect your costs. To address these issues, DataSync automates data management and offers settings to reduce data retrieval.

Amazon DataSync automatically stores small objects in S3 Standard to avoid the per-object minimum capacity charge. You can enable DataSync to only verify files that were transferred by a certain activity in order to save data retrieval costs. DataSync provides controls for overwriting and removing objects so as to avoid minimum storage duration fees.

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Ques. 13): How can Amazon FSx for Windows File Server access my file system?

Answer:

AWS DataSync uses the SMB protocol to connect to your Amazon FSx for Windows File Server file system, authenticating with the username and password you set in the AWS Console or CLI. Your file system is mounted by the DataSync service using Elastic Network Interfaces (ENIs) that it manages inside of your VPC. These ENIs are created, used, and completely managed by DataSync on your behalf.

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Ques. 14): How does my Amazon FSx for Lustre file system get access to using AWS DataSync?

Answer:

The DataSync service will construct Elastic Network Interfaces (ENIs) in the same VPC and subnet where your FSx for Lustre file system is stored when you create a DataSync task to transfer to or from it. These ENIs are used by DataSync to connect to your FSx for Lustre file system using the root user and the Lustre protocol. Up to five security groups can be specified when creating a DataSync location resource for your FSx for Lustre file system in order to apply them to the ENIs and set up outbound access from the DataSync service. It is necessary to set up the security groups to permit outbound traffic on the network ports needed by FSx for Lustre. The security groups on your FSx for Lustre file system should be configured to allow inbound access from the security groups you assigned to the DataSync location resource for your FSx for Lustre file system.

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Ques. 15): How does Amazon FSx for OpenZFS file system access work with AWS DataSync?

Answer:

The DataSync service will construct Elastic Network Interfaces (ENIs) in the same VPC and subnet where your FSx for OpenZFS file system is situated when you start a DataSync task to transfer to or from it. These ENIs are used by DataSync to connect to your FSx for OpenZFS file system using the root user's OpenZFS protocol. To apply to the ENIs and set up outbound access from the DataSync service, you can select up to five security groups when you build a DataSync location resource for your FSx for OpenZFS file system. It is necessary to set up the security groups to permit outbound traffic on the network ports needed by FSx for OpenZFS. The security groups on your FSx for OpenZFS file system should be configured to allow inbound access from the security groups you assigned to the DataSync location resource for your FSx for OpenZFS file system.

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Ques. 16): How does Amazon FSx for Netapp ONTAP access my file system?

Answer:

When you create a task, DataSync creates Elastic Network Interfaces (ENIs) in your Amazon FSx for NetApp ONTAP file system's Preferred Subnet of the same VPC. DataSync uses the ENIs it creates in the Preferred Subnet, which is selected when you construct your FSx for ONTAP file system, to access your FSx for ONTAP file system. To configure outbound access from the DataSync service, you can specify up to 5 security groups to apply to the ENIs when you create a DataSync Location resource for your FSx for ONTAP file system. You should configure the security groups on your FSx for ONTAP file system to allow inbound access from the security groups you assigned to the DataSync Location resource for your FSx for ONTAP file system.

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Ques. 17): Can I access the same Amazon FSx for NetApp ONTAP file system using different protocols by utilising AWS DataSync?

Answer:

A new DataSync location and task resource must be created for each protocol, yes, but (NFS or SMB). We do not advocate concurrently employing several DataSync activities to copy to the same disc path in order to prevent problems with data overwriting and data verification (whether using the same protocol or different protocols).

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Ques. 18): How can I transfer data from Amazon Storage to AWS Snowcone?

Answer:

Your Snowcone device already has the DataSync agent installed as an AMI. Connect the Amazon Snowcone device to the external network, then activate the DataSync agent AMI either AWS OpsHub or the CLI to transmit data online to AWS. Set up your online data move job between AWS Snowcone's NFS store and Amazon S3, Amazon EFS, Amazon FSx for Windows File Server, Amazon FSx for Lustre, Amazon FSx for OpenZFS, or Amazon FSx for NetApp ONTAP after activating the agent using the AWS Management Console or CLI.

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Ques. 19): Would the performance of my source file system be impacted by AWS DataSync?

Answer:

Because the agent reads or writes data from that storage system, Amazon DataSync may affect the response time of other clients when accessing the same source data store, depending on the capacity of your on-premises file store and the amount and size of files to be transferred. This effect can be lessened by configuring a bandwidth restriction for a process, which limits the I/O to your storage system.

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Ques. 20): Is my data encrypted while being transferred and stored?

Answer:

Yes. TLS, which took the position of Secure Sockets Layer, encrypts all data sent between the source and the destination (SSL). Amazon DataSync itself never stores any data. The service supports leveraging Amazon EFS file system encryption of data at rest, Amazon FSx encryption at rest and in transit, and default encryption for S3 buckets.

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